Triple
T1495055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campus Mitte |
E29666
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Brandenburg Gate |
E16265
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Brandenburg Gate | Statement: [Campus Mitte, near, Brandenburg Gate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brandenburg Gate Context triple: [Campus Mitte, near, Brandenburg Gate]
-
A.
Brandenburg Gate
chosen
The Brandenburg Gate is an iconic 18th-century monument in Berlin and one of Germany’s most recognizable symbols of history and national unity.
-
B.
Brandenburg Gate (Potsdam)
The Brandenburg Gate in Potsdam is a historic triumphal arch built in the 18th century that serves as one of the city's most prominent architectural landmarks.
-
C.
Oranienburger Tor
Oranienburger Tor is an underground station on Berlin’s U-Bahn network located near the historic Oranienburger Tor area in the central district of Mitte.
-
D.
Glienicke Bridge, Berlin
Glienicke Bridge in Berlin is a historic span over the Havel River that became famous during the Cold War as a key site for high-profile prisoner exchanges between East and West.
-
E.
Hallesches Tor
Hallesches Tor is a major Berlin U-Bahn interchange station in the Kreuzberg district, serving as a key hub for multiple subway lines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c78c9481909b210b845aa6e9df |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1cadb50481908788b5710f6012db |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 1, 2026, 8:12 p.m.